listen O
to O
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alumb O
allergic B-album
on O
google B-service
music I-service

please O
add O
iris B-artist
dement I-artist
to O
my B-playlist_owner
playlist O
this B-playlist
is I-playlist
selena I-playlist

add O
slimm B-artist
cutta I-artist
calhoun I-artist
to O
my B-playlist_owner
this B-playlist
is I-playlist
prince I-playlist
playlist O

play O
a O
popular B-sort
chant B-music_item
by O
brian B-artist
epstein I-artist

can O
you O
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me O
some O
eighties B-year
music O
by O
adele B-artist

play O
the O
top-20 B-sort
best I-sort
chicane B-artist
songs O
on O
deezer B-service

play O
a O
chant B-music_item
by O
mj B-artist
cole I-artist

play O
all B-track
of I-track
your I-track
toys I-track
by O
chris B-artist
ledoux I-artist

i O
want O
to O
hear O
a O
joel B-artist
hastings I-artist
melody B-music_item

play O
theme B-music_item
by O
yanni B-artist
on O
vimeo B-service

play O
rap B-album
album I-album
one I-album
by O
gene B-artist
vincent I-artist

play O
takes B-album
place I-album
in I-album
your I-album
work I-album
space I-album
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eddie B-artist
kendricks I-artist

play O
inventions B-album
for I-album
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season I-album

i O
want O
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tommy B-artist
walter I-artist

play O
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morris I-artist
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the B-album
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and I-album
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netflix B-service

i O
want O
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let O
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paul B-artist
draper I-artist

play O
fill B-album
yourself I-album
with I-album
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by O
ray B-artist
manzarek I-artist

play O
the O
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qr B-album
iii I-album
by O
bobby B-artist
bare I-artist

i O
want O
to O
listen O
to O
speed B-album
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play O
techno B-genre
on O
lastfm B-service

can O
you O
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track B-music_item
on O
zvooq B-service
by O
graham B-artist
mcpherson I-artist

play O
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play O
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you O
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1966 B-year
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ren I-artist
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play O
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the O
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days I-entity_name
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list O
your B-playlist
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slaughterhouse I-playlist

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manuelita B-entity_name
to O
my B-playlist_owner
indiespensables B-playlist
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add O
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my B-playlist_owner
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global B-playlist
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bret B-artist
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pop B-playlist
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this O
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give O
this O
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textbook B-object_type
a O
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rate O
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this B-object_select
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5 B-rating_value
stars B-rating_unit

i O
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give O
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4 B-rating_value
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this B-object_select
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1 B-rating_value

rate O
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for O
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the O
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this B-object_select
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of O
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rate O
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a O
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rate O
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2 B-rating_value
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of O
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give O
me O
a O
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of O
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me O
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play O
hell B-object_name
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find O
movie B-object_type
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company I-location_name

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d O
like O
to O
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show B-object_type
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me O
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in O
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hill I-track
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ghulam I-artist
farid I-artist

play O
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by O
paul B-artist
smith I-artist
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google B-service
music I-service

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hughie B-track
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vidyadhar B-artist
vyas I-artist

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liu B-artist
tianhua I-artist

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in B-track
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gareth B-artist
gates I-artist
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netflix B-service

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nerding B-playlist
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want O
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play O
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play O
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aysha I-artist

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1960 B-year

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venetian B-restaurant_name
theatre I-restaurant_name
in O
gabon B-country
party O
of O
seven B-party_size_number

book O
a O
tea B-timeRange
place O
at O
seven B-party_size_number

i O
need O
a O
reservation O
for O
6 B-timeRange
pm I-timeRange
with O
a O
party O
of O
10 B-party_size_number
at O
sand B-city
lake I-city

book O
me O
a O
table O
for O
seven B-party_size_number
people O
at O
a O
bar B-restaurant_type
with O
a O
pool B-facility

make O
a O
reservation O
for O
9 B-party_size_number
at O
a O
brasserie B-restaurant_type
with O
parking B-facility

i O
need O
seating O
at O
floating B-restaurant_name
restaurant I-restaurant_name
in O
tennessee B-state
for O
a O
group O
of O
9 B-party_size_number

i O
need O
a O
reservation O
for O
four B-party_size_number
this B-timeRange
year I-timeRange
at O
a O
restaurant B-restaurant_type

i O
need O
a O
forecast O
for O
jetmore B-city
massachusetts B-state
in O
1 B-timeRange
hour I-timeRange
and I-timeRange
1 I-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

i O
need O
to O
book O
a O
restaurant B-restaurant_type
in O
fork B-city
mountain I-city
sc B-state
for O
valarie B-party_size_description
mari I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
restaurant B-restaurant_type
at O
sixteen B-timeRange
o I-timeRange
clock I-timeRange
in O
sc B-state

book O
a O
taverna B-restaurant_type
that O
serves O
vichyssoise B-served_dish
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
in O
oh B-state

will O
it O
be O
colder B-condition_temperature
in O
ohio B-state

what O
is O
the O
weather O
supposed O
to O
be O
like O
in O
new B-state
jersey I-state
three B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

i O
want O
to O
book O
the B-restaurant_name
hat I-restaurant_name
for O
my B-party_size_description
grandfather I-party_size_description
and I-party_size_description
i I-party_size_description
in O
arkansas B-state

what O
will O
the O
weather O
be O
like O
not B-spatial_relation
far I-spatial_relation
from O
alabama B-state
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may B-timeRange
9 I-timeRange
2037 I-timeRange

what O
s O
the O
weather O
going O
to O
be O
in B-timeRange
7 I-timeRange
hours I-timeRange
in O
fm B-state

what O
is O
the O
forecast O
for O
cold B-condition_temperature
temps O
in O
nevada B-state

what O
is O
the O
weather O
like O
in O
the O
city O
of O
frewen B-city
in O
the O
country O
of O
venezuela B-country

will O
it O
be O
warmer B-condition_temperature
now B-timeRange
in O
covenant B-city
life I-city

will O
it O
be O
humid B-condition_description
in O
beedeville B-city
on O
november B-timeRange
20 I-timeRange

what O
s O
the O
weather O
forecast O
for O
moss B-city
hill I-city

ethiopia B-country
ellenton B-city
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snow B-condition_description
weather O
at O
eight B-timeRange
pm I-timeRange

book O
a O
restaurant O
on O
june B-timeRange
the I-timeRange
fifth I-timeRange
in O
cavour B-city

book O
a O
spot O
for O
4 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
shambaugh B-city
md B-state

give O
me O
the O
weather O
forecast O
for O
lower B-city
lake I-city
on O
sep B-timeRange
21 I-timeRange
2038 I-timeRange

what O
is O
the O
forecast O
for O
temperate B-condition_temperature
weather O
in O
bellechester B-city

book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
in O
milladore B-city
for O
6 B-party_size_number
people O

please O
let O
me O
know O
the O
weather O
forcast O
of O
stanislaus B-geographic_poi
national I-geographic_poi
forest I-geographic_poi
far B-spatial_relation
in B-timeRange
nine I-timeRange
months I-timeRange

what O
s O
the O
weather O
in O
my O
current B-current_location
spot I-current_location
the B-timeRange
day I-timeRange
after I-timeRange
tomorrow I-timeRange

is O
it O
supposed O
to O
rain B-condition_description
nearby B-spatial_relation
my O
current B-current_location
location I-current_location
at O
0 B-timeRange
o I-timeRange
clock I-timeRange

i O
want O
to O
eat O
at O
a O
pickled B-served_dish
cucumber I-served_dish
brasserie B-restaurant_type
in B-timeRange
12 I-timeRange
months I-timeRange

i O
need O
a O
table O
at O
the B-restaurant_name
ledbury I-restaurant_name
at O
18 B-timeRange
o I-timeRange
clock I-timeRange

i O
d O
like O
a O
table O
in O
a O
smoking B-facility
room I-facility
in O
a O
taverna B-restaurant_type
on O
sep B-timeRange
23 I-timeRange
2023 I-timeRange

what O
will O
the O
weather O
be O
like O
19 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
in O
nepal B-country

what O
will O
the O
weather O
be O
at O
my O
current B-current_location
location I-current_location
on O
december B-timeRange
the I-timeRange
2nd I-timeRange
2029 I-timeRange

is O
there O
going O
to O
be O
a O
depression B-condition_description
two B-timeRange
hundred I-timeRange
sixteen I-timeRange
days I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange
in O
mill B-geographic_poi
bluff I-geographic_poi
state I-geographic_poi
park I-geographic_poi

i O
want O
to O
book O
a O
far B-spatial_relation
brasserie B-restaurant_type
that O
serves O
minestrone B-served_dish
in O
pa B-state
for O
a O
party O
of O
9 B-party_size_number
in O
15 B-timeRange
minutes I-timeRange

give O
two B-rating_value
stars B-rating_unit
to O
current B-object_select
chronicle B-object_part_of_series_type

the O
current B-object_select
saga B-object_part_of_series_type
deserves O
a O
5 B-rating_value
rating O

i O
would O
give O
the O
series B-object_part_of_series_type
history B-object_name
decoded: I-object_name
the I-object_name
10 I-object_name
greatest I-object_name
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of I-object_name
all I-object_name
time I-object_name
a O
rating O
of O
3 B-rating_value
points B-rating_unit

rate O
this B-object_select
series B-object_part_of_series_type
chronicle I-object_part_of_series_type
0 B-rating_value
points B-rating_unit

rate O
the O
beyond B-object_name
black I-object_name
saga B-object_part_of_series_type
a O
one B-rating_value

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chronicle B-object_part_of_series_type
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a O
zero B-rating_value
out O
of O
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rate O
the O
my B-object_name
beloved I-object_name
world I-object_name
saga B-object_part_of_series_type
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one B-rating_value

rate O
the B-object_name
rats I-object_name
chronicle B-object_part_of_series_type
5 B-rating_value
of O
6 B-best_rating

give O
the O
televised B-object_name
morality I-object_name
series B-object_part_of_series_type
a O
one B-rating_value

rate O
the O
chronicle B-object_part_of_series_type
following B-object_select
a O
4 B-rating_value

find O
animated B-movie_type
movies I-movie_type
nearest B-spatial_relation
at O
a O
movie B-object_location_type
house I-object_location_type

find O
me O
showtimes O
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

in B-spatial_relation
the I-spatial_relation
area I-spatial_relation
find O
some O
films B-movie_type

what O
films B-movie_type
are O
playing O
at O
goodrich B-location_name
quality I-location_name
theaters I-location_name

find O
the O
movie B-object_type
schedule I-object_type
for O
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movies I-movie_type
around B-spatial_relation
here I-spatial_relation

what O
films B-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
with O
films B-movie_type

which O
films B-movie_type
are O
playing O
at O
malco B-location_name
theatres I-location_name

what O
are O
the O
movie B-object_type
schedules I-object_type
for O
movies B-movie_type
around B-spatial_relation
here I-spatial_relation

find O
movie B-object_type
times I-object_type
for O
close B-spatial_relation
by I-spatial_relation
movies B-movie_type

i O
want O
to O
book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
our B-poi
college I-poi

what O
is O
the O
weather O
not B-spatial_relation
far I-spatial_relation
from O
upper B-geographic_poi
klamath I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

weather O
for O
close-by B-spatial_relation
parc B-geographic_poi
national I-geographic_poi
de I-geographic_poi
kolkheti I-geographic_poi

i O
d O
like O
to O
watch O
movies B-movie_type
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

book O
in B-poi
town I-poi
for O
3 B-party_size_number
at O
a O
restaurant B-restaurant_type
outdoor B-facility
that O
is O
not B-spatial_relation
far I-spatial_relation

what O
s O
the O
weather O
forecast O
not B-spatial_relation
far I-spatial_relation
from O
here B-current_location

find O
a O
reservation O
at O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type
nearby B-spatial_relation
sc B-state
for O
a O
party O
of O
ten B-party_size_number

what O
movies B-movie_type
are O
scheduled O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

find O
the O
nearest B-spatial_relation
movies B-movie_type
at O
a O
movie B-object_location_type
theatre I-object_location_type

show O
movie B-object_type
times I-object_type
of O
films B-movie_type
close B-spatial_relation
by I-spatial_relation

will O
it O
storm B-condition_description
in O
charles B-geographic_poi
pinckney I-geographic_poi
national I-geographic_poi
historic I-geographic_poi
site I-geographic_poi

what O
will O
the O
weather O
be O
like O
on O
feb B-timeRange
8 I-timeRange
2034 I-timeRange
in O
cedar B-geographic_poi
mountain I-geographic_poi
wilderness I-geographic_poi

what O
is O
the O
weather O
in O
sehlabathebe-nationalpark B-geographic_poi

is O
cape B-geographic_poi
mount I-geographic_poi
nature I-geographic_poi
conservation I-geographic_poi
unit I-geographic_poi
has O
storm B-condition_description
weather O

what O
is O
the O
weather O
forecast O
for O
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national I-geographic_poi
park I-geographic_poi
three B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

will O
it O
get O
warmer B-condition_temperature
in O
holy B-geographic_poi
cross I-geographic_poi
wilderness I-geographic_poi

is O
it O
going O
to O
be O
warmer B-condition_temperature
in O
central B-geographic_poi
cebu I-geographic_poi
protected I-geographic_poi
landscape I-geographic_poi

is O
it O
chilly B-condition_temperature
in O
ecola B-geographic_poi
state I-geographic_poi
park I-geographic_poi
at O
2 B-timeRange
pm I-timeRange

will O
it O
be O
foggy B-condition_description
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
parc B-geographic_poi
provincial I-geographic_poi
kettle I-geographic_poi
lakes I-geographic_poi
on O
february B-timeRange
the I-timeRange
thirteenth I-timeRange
2018 I-timeRange

what O
s O
the O
weather O
in B-timeRange
twenty I-timeRange
five I-timeRange
days I-timeRange
in O
hagerman B-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

book O
a O
reservation O
for O
a O
pub B-restaurant_type
with O
ma B-served_dish
po I-served_dish
tofu I-served_dish
in O
moldova B-country

book O
a O
spot O
for O
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at O
a O
south B-cuisine
american I-cuisine
restaurant B-restaurant_type

book O
a O
spot O
at O
a O
taverna B-restaurant_type
for O
my B-party_size_description
cousin I-party_size_description
and I-party_size_description
i I-party_size_description
in O
burundi B-country

book O
a O
restaurant B-restaurant_type
for O
2 B-party_size_number
at O
a O
cafe B-restaurant_type
that O
i O
can O
get O
a O
croissant B-served_dish
at O

i O
want O
to O
reserve O
a O
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that O
has O
a O
spa B-facility

book O
a O
restaurant B-restaurant_type
for O
7 B-party_size_number
people O

i O
need O
a O
reservation O
for O
four B-party_size_number
at O
a O
bar B-restaurant_type

i O
want O
a O
restaurant B-restaurant_type
in O
idaho B-state
for O
2 B-party_size_number
of O
us O

restaurant B-restaurant_type
in O
niger B-country
for O
my B-party_size_description
mom I-party_size_description
and I-party_size_description
i I-party_size_description

casey B-party_size_description
chavez I-party_size_description
lucinda I-party_size_description
and I-party_size_description
karina I-party_size_description
want O
to O
eat O
at O
a O
diner B-restaurant_type
on O
december B-timeRange
the I-timeRange
7th I-timeRange

book O
a O
table O
at O
skycity B-restaurant_name
in O
salado B-city
for O
me B-party_size_description
and I-party_size_description
hannah I-party_size_description

i O
want O
to O
book O
a O
table O
for O
me B-party_size_description
and I-party_size_description
josefa I-party_size_description
at O
jacob B-restaurant_name
wirth I-restaurant_name
restaurant I-restaurant_name
in O
branford B-city

please O
get O
me O
a O
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at O
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with O
a O
pool B-facility
for O
manuela B-party_size_description
and I-party_size_description
yvonne I-party_size_description

find O
a O
restaurant B-restaurant_type
for O
marylou B-party_size_description
and I-party_size_description
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within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
my B-poi
mum I-poi
s I-poi
hotel I-poi

book O
a O
restaurant B-restaurant_type
for O
me B-party_size_description
and I-party_size_description
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at O
1 B-timeRange
am I-timeRange

please O
book O
a O
coffeehouse B-restaurant_type
restaurant I-restaurant_type
type O
room O
to O
accommodate O
gretchen B-party_size_description
trisha I-party_size_description
and I-party_size_description
amber I-party_size_description
which O
serves O
pastelaria B-cuisine
dish O

me B-party_size_description
and I-party_size_description
my I-party_size_description
niece I-party_size_description
want O
to O
eat O
somewhere O
close B-spatial_relation
by I-spatial_relation
hopatcong B-poi

book O
a O
spot O
for O
me B-party_size_description
and I-party_size_description
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sister I-party_size_description
at O
a O
restaurant B-restaurant_type
that O
has O
clafoutis B-served_dish

me B-party_size_description
and I-party_size_description
imelda I-party_size_description
want O
a O
reservation O
in O
missouri B-state
at O
seven B-timeRange
am I-timeRange

nancy B-party_size_description
elma I-party_size_description
ruiz I-party_size_description
and I-party_size_description
molly I-party_size_description
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
in O
gibraltar B-country

what O
time O
is O
cinema B-object_location_type
playing O
the B-movie_name
village I-movie_name
priest I-movie_name

i O
want O
the O
film B-movie_type
for O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
that O
plays O
animated B-movie_type
movies I-movie_type

where O
is O
the O
closest B-spatial_relation
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that O
features O
animated B-movie_type
movies I-movie_type

what O
s O
the O
closest B-spatial_relation
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harbour B-movie_name
beat I-movie_name

what O
time O
will O
the O
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house I-object_location_type
be O
showing O
on B-movie_name
the I-movie_name
beat I-movie_name

can O
i O
get O
the O
listings O
for O
the O
film B-movie_type
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
a O
movie B-object_location_type
theatre I-object_location_type
with O
rogues B-movie_name
and I-movie_name
romance I-movie_name
that O
is O
nearest B-spatial_relation

find O
the O
schedule B-object_type
for O
the O
closest B-spatial_relation
films B-movie_type
at O
a O
cinema B-object_location_type
at O
meal B-timeRange
time O

i O
d O
like O
to O
watch O
three B-movie_name
word I-movie_name
brand I-movie_name
at O
the O
cinema B-object_location_type

search O
for O
the B-object_name
adventures I-object_name
of I-object_name
cookie I-object_name
& I-object_name
cream I-object_name

please O
find O
the O
movie B-object_type
dancing B-object_name
girl I-object_name

find O
resurrection B-object_name
of I-object_name
evil I-object_name

find O
playstation官方杂志 B-object_name
a O
song B-object_type

find O
young B-object_name
miss I-object_name
holmes I-object_name

show O
me O
the O
painting B-object_type
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fool B-object_name
for I-object_name
love I-object_name

find O
a O
video B-object_type
game I-object_type
called O
a B-object_name
stroll I-object_name
in I-object_name
the I-object_name
pork I-object_name

find O
the O
song B-object_type
called O
international B-object_name
journal I-object_name
of I-object_name
bilingualism I-object_name

i O
m O
looking O
for O
the O
trailer B-object_type
of O
highlands B-object_name
today I-object_name

search O
for O
police B-object_name
women I-object_name
of I-object_name
cincinnati I-object_name

give O
5 B-rating_value
points B-rating_unit
to O
the B-object_name
deathlord I-object_name
of I-object_name
ixia I-object_name

this O
book B-object_type
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points B-rating_unit
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being O
current B-object_select
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a O
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give O
this O
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a O
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of O
6 B-best_rating

give O
5 B-rating_value
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of O
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racing B-object_name
the I-object_name
rain I-object_name

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the O
current B-object_select
album B-object_type
two B-rating_value
points B-rating_unit

not B-object_name
yet: I-object_name
a I-object_name
memoir I-object_name
of I-object_name
living I-object_name
and I-object_name
almost I-object_name
dying I-object_name
was O
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
waiting B-object_name
for I-object_name
the I-object_name
mahatma I-object_name
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

freud: B-object_name
the I-object_name
mind I-object_name
of I-object_name
the I-object_name
moralist I-object_name
should O
be O
rated O
2 B-rating_value
stars B-rating_unit
with O
a O
best O
rating O
of O
6 B-best_rating

rate O
this B-object_select
textbook B-object_type
four B-rating_value
points B-rating_unit

show O
me O
the O
movie B-object_type
schedule I-object_type
for O
star B-location_name
theatres I-location_name

what O
movies B-movie_type
are O
scheduled O
at O
plitt B-location_name
theatres I-location_name

find O
movie B-object_type
schedules I-object_type
at O
imax B-location_name
corporation I-location_name

show O
movie B-object_type
schedule I-object_type
at O
amco B-location_name
entertainment I-location_name

find O
the O
movie B-object_type
schedule I-object_type
for O
pacific B-location_name
theatres I-location_name

can O
i O
get O
the O
movie B-object_type
schedules I-object_type
for O
loews B-location_name
cineplex I-location_name

find O
films B-movie_type
at O
alamo B-location_name
drafthouse I-location_name
cinema I-location_name

let O
me O
have O
the O
movie B-object_type
schedules I-object_type
for O
general B-location_name
cinema I-location_name
corporation I-location_name

what O
movies B-movie_type
are O
playing O
at O
southern B-location_name
theatres I-location_name

find O
me O
the O
movie B-object_type
schedule I-object_type
for O
great B-location_name
escape I-location_name
theatres I-location_name

will O
it O
rain B-condition_description
here B-current_location
at O
13:22:09 B-timeRange

what O
is O
the O
forecast O
for O
the O
current B-current_location
spot I-current_location
for O
cloudy B-condition_description
conditions O

tell O
me O
the O
weather O
forecast O
for O
here B-current_location

tell O
me O
if O
it O
ll O
be O
chilly B-condition_temperature
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
here B-current_location

what O
is O
the O
weather O
at O
the O
current B-current_location
position I-current_location

what O
is O
the O
weather O
forecast O
for O
my O
current B-current_location
position I-current_location

what O
s O
the O
weather O
going O
to O
be O
like O
here B-current_location
at O
ten B-timeRange
am I-timeRange

give O
me O
the O
forecast O
for O
here B-current_location
on O
february B-timeRange
the I-timeRange
sixteenth I-timeRange
2022 I-timeRange

what O
will O
the O
weather O
be O
like O
in B-timeRange
1 I-timeRange
minute I-timeRange
in O
my O
current B-current_location
position I-current_location

is O
it O
going O
to O
be O
cloudy B-condition_description
in O
my O
current B-current_location
spot I-current_location
for O
dinner B-timeRange

i O
want O
a O
table O
to O
seat O
10 B-party_size_number
at O
a O
close-by B-spatial_relation
to O
ottumwa B-city
that O
serves O
osteria B-restaurant_type
and O
ranch B-served_dish
dressing I-served_dish

book O
a O
table O
for O
ten B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
that O
serves O
noodle B-served_dish

book O
a O
restaurant B-restaurant_type
that O
serves O
bouchée B-served_dish
for O
midnight B-timeRange

need O
a O
table O
at O
a O
restaurant B-restaurant_type
serving O
foie B-served_dish
gras I-served_dish
on O
halloween B-timeRange
for O
two B-party_size_number
at O
northern B-state
mariana I-state
islands I-state

2 B-party_size_number
of O
us O
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
that O
serves O
meatballs B-served_dish
in O
vt B-state

i O
want O
to O
find O
a O
salami B-served_dish
restaurant B-restaurant_type
in O
bastian B-city
in B-state

i O
want O
to O
book O
a O
meal B-timeRange
at O
a O
restaurant B-restaurant_type
that O
searves O
kouglof B-served_dish

book O
a O
food B-restaurant_type
court I-restaurant_type
in O
raytown B-city
arizona B-state
that O
serves O
green B-served_dish
bean I-served_dish
casserole I-served_dish
on O
july B-timeRange
20th I-timeRange

party O
of O
two B-party_size_number
for O
a O
food B-restaurant_type
truck I-restaurant_type
on O
december B-timeRange
22 I-timeRange
that O
serves O
chicken B-served_dish
french I-served_dish
in O
bolivia B-country

please O
make O
reservations O
for O
4 B-party_size_number
for O
the O
hog B-served_dish
fry I-served_dish
from O
the O
food B-restaurant_type
truck I-restaurant_type

what O
is O
the O
weather O
in O
sint B-country
maarten I-country

book O
the B-restaurant_name
mustard I-restaurant_name
seed I-restaurant_name
in O
turks B-country
and I-country
caicos I-country
islands I-country
for O
9 B-party_size_number
people O

what O
s O
the O
forecast O
for O
alley B-city
canada B-country

will O
it O
be O
stormy B-condition_description
in O
ritchey B-city
in O
palau B-country

is O
it O
hot B-condition_temperature
in O
gold B-city
beach I-city
bahrain B-country

can O
you O
please O
give O
me O
the O
forecast O
for O
the O
dominica B-country

i O
want O
the O
weather O
for O
saint B-country
martin I-country
next B-timeRange
year I-timeRange

what O
s O
the O
weather O
going O
to O
be O
like O
near B-spatial_relation
moldova B-country
on O
fri B-timeRange

what O
is O
the O
weather O
forecast O
close B-spatial_relation
to O
puerto B-country
rico I-country

is O
it O
supposed O
to O
hail B-condition_description
in O
rosenberg B-city
in O
the O
french B-country
polynesia I-country

what O
is O
the O
forecast O
for O
sea B-city
isle I-city
city I-city
in O
louisiana B-state
for O
warmer B-condition_temperature
weather O

is O
it O
going O
to O
be O
cold B-condition_temperature
today B-timeRange
in O
wing B-city

is O
it O
forecast O
to O
be O
freezing B-condition_temperature
in O
benedict B-city

how O
chilly B-condition_temperature
is O
it O
close B-spatial_relation
to O
hollidaysburg B-city

what O
is O
the O
american B-state
samoa I-state
forecast O
for O
hot B-condition_temperature
weather O

will O
it O
be O
hot B-condition_temperature
in O
saint B-city
jo I-city
alaska B-state

is O
it O
supposed O
to O
gt O
colder B-condition_temperature
in O
or B-state

how O
cold B-condition_temperature
is O
it O
in O
princeton B-city
junction I-city

is O
it O
forecast O
to O
be O
chilly B-condition_temperature
in O
iowa B-state

will O
it O
be O
chillier B-condition_temperature
in O
suwannee B-city

i O
d O
like O
a O
table O
for O
10 B-party_size_number
at O
a O
distant B-spatial_relation
place O
downtown B-poi
for O
next B-timeRange
fall I-timeRange

book O
a O
table O
for O
3 B-party_size_number
far B-spatial_relation
from O
tullytown B-poi
at O
a O
coffeehouse B-restaurant_type
with O
a O
smoking B-facility
room I-facility

book O
reservations O
not B-spatial_relation
far I-spatial_relation
from O
our O
neighborhood B-poi
for O
a O
party O
of O
2 B-party_size_number

book O
a O
table O
for O
january B-timeRange
the I-timeRange
twentieth I-timeRange
at O
a O
place O
far B-spatial_relation
from O
your B-poi
daughter I-poi
s I-poi
campus I-poi

i O
want O
to O
book O
a O
restaurant B-restaurant_type
far B-spatial_relation
from O
the O
municipal B-poi
borough I-poi
of I-poi
mitcham I-poi
for O
10 B-party_size_number
people O

i O
want O
to O
book O
a O
bar B-restaurant_type
neighboring B-spatial_relation
our B-poi
apartment I-poi

i O
need O
reservations O
at O
khedive B-restaurant_name
palace I-restaurant_name
that O
s O
close B-spatial_relation
in B-poi
town I-poi

i O
want O
to O
bring O
six B-party_size_number
of O
us O
to O
a O
bistro B-restaurant_type
in B-poi
town I-poi
that O
serves O
hot B-served_dish
chicken I-served_dish
sandwich I-served_dish
that O
is O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

book O
a O
brasserie B-restaurant_type
with O
a O
pool B-facility
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
my O
neighborhood B-poi
for O
5 B-party_size_number
people O
at O
19:26 B-timeRange

book O
a O
spot O
for O
nona B-party_size_description
gray I-party_size_description
myrtle I-party_size_description
and I-party_size_description
alison I-party_size_description
at O
a O
top-rated B-sort
brasserie B-restaurant_type
that O
is O
distant B-spatial_relation
from O
wilson B-poi
av I-poi
on O
nov B-timeRange
the I-timeRange
4th I-timeRange
2030 I-timeRange
that O
serves O
ouzeri B-cuisine

what O
is O
the O
forecast O
for O
west B-state
virginia I-state
will O
it O
be O
snowy B-condition_description

will O
there O
be O
rain B-condition_description
next B-timeRange
year I-timeRange
in O
new B-state
hampshire I-state

will O
it O
be O
windy B-condition_description
at O
4 B-timeRange
pm I-timeRange
in O
ny B-state

is O
it O
going O
to O
be O
rainy B-condition_description
in O
kings B-city
valley I-city
kosovo B-country
next B-timeRange
mon I-timeRange

will O
there O
be O
cloud B-condition_description
action O
in O
saint B-city
bernard I-city
virgin B-state
islands I-state

will O
there O
be O
wind B-condition_description
on O
january B-timeRange
24 I-timeRange
2019 I-timeRange
in O
ransom B-city

will O
it O
get O
windy B-condition_description
in O
ocean B-city
breeze I-city
park I-city

show O
fog B-condition_description
conditions O
at O
7 B-timeRange
am I-timeRange
in O
nh B-state

is O
it O
forecast O
to O
be O
rainy B-condition_description
in O
winchell B-city
mississippi B-state

will O
there O
be O
snowfall B-condition_description
in O
ky B-state

play O
lastfm B-service
pop B-genre
tunes O

play O
some O
showtunes B-genre
music O

i O
want O
to O
hear O
some O
psychedelic B-genre
rock I-genre

i O
m O
in O
the O
mood O
to O
listen O
to O
meditative B-genre
music O

play O
some O
chanson B-genre
music O

use O
iheart B-service
to O
listen O
to O
retro B-genre

play O
some O
rap B-genre
on O
pandora B-service

play O
bebob B-genre
on O
iheart B-service

play O
techno B-genre
music O

play O
some O
tango B-genre
on O
iheart B-service

can O
i O
get O
a O
table O
at O
the B-restaurant_name
fort I-restaurant_name

book O
the O
atomic B-restaurant_name
cafe I-restaurant_name
for O
ten B-party_size_number
people O

book O
reservations O
at O
james B-restaurant_name
d I-restaurant_name
conrey I-restaurant_name
house I-restaurant_name
at O
1 B-timeRange
pm I-timeRange
for O
a O
party O
of O
nine B-party_size_number

i O
d O
like O
to O
eat O
at O
the B-restaurant_name
firehouse I-restaurant_name
restaurant I-restaurant_name

i O
need O
a O
reservation O
for O
chapter B-restaurant_name
one I-restaurant_name
in O
west B-city
odessa I-city
for O
a O
party O
of O
one B-party_size_number

reserve O
me O
a O
table O
for O
10 B-party_size_number
at O
a O
mt B-state
cafe B-restaurant_name
for O
breakfast B-timeRange

book O
a O
co B-state
table O
at O
windows B-restaurant_name
on I-restaurant_name
the I-restaurant_name
world I-restaurant_name

i O
need O
to O
book O
a O
restaurant B-restaurant_type
for O
five B-party_size_number
in O
liberia B-country
at O
the B-restaurant_name
maisonette I-restaurant_name

i O
need O
a O
table O
in O
neighboring B-spatial_relation
carencro B-city
at O
the O
bridge B-restaurant_name
round I-restaurant_name
house I-restaurant_name

book O
a O
table O
for O
8 B-party_size_number
people O
at O
robinson B-restaurant_name
house I-restaurant_name

i O
would O
like O
to O
book O
a O
puglia B-cuisine
food B-restaurant_type
court I-restaurant_type
in O
ky B-state

book O
midday B-timeRange
at O
a O
faraway B-spatial_relation
cuban B-cuisine
place O
for O
five B-party_size_number
at O
a O
top-rated B-sort
bakery B-restaurant_type
in O
grainola B-city

book O
a O
latin B-cuisine
cuisine O
pub B-restaurant_type
for O
2 B-party_size_number
on O
september B-timeRange
the I-timeRange
13th I-timeRange
2037 I-timeRange
in O
kazakhstan B-country

can O
i O
book O
a O
restaurant B-restaurant_type
that O
serves O
pastelaria B-cuisine
in O
takilma B-city
virgin B-state
islands I-state

i O
d O
like O
to O
eat O
at O
a O
highly B-sort
rated I-sort
swiss B-cuisine
restaurant B-restaurant_type
in O
irma B-city
at O
two B-timeRange
pm I-timeRange

can O
i O
get O
some O
russian B-cuisine
cuisine O
at O
a O
restaurant B-restaurant_type
with O
shari B-party_size_description
and I-party_size_description
i I-party_size_description

christie B-party_size_description
concepcion I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
eat O
trattoria B-cuisine
at O
a O
brasserie B-restaurant_type
in O
johnston B-city
now B-timeRange

book O
a O
tyrolean B-cuisine
restaurant B-restaurant_type
in O
crocker B-city
indiana B-state
now B-timeRange
for O
3 B-party_size_number
people O

book O
a O
highly B-sort
rated I-sort
gastropub B-restaurant_type
that O
has O
a O
pastelaria B-cuisine
in O
blue B-city
anchor I-city
md B-state
in B-timeRange
55 I-timeRange
weeks I-timeRange
for O
my B-party_size_description
brother I-party_size_description
in I-party_size_description
law I-party_size_description
and I-party_size_description
i I-party_size_description

i O
d O
like O
a O
table O
at O
a O
top-rated B-sort
tea B-restaurant_type
house I-restaurant_type
with O
javanese B-cuisine
cuisine O
this B-timeRange
week I-timeRange
in O
germany B-country

i O
need O
a O
restaurant B-restaurant_type
that O
has O
internet B-facility
access O
for O
a O
party O
of O
six B-party_size_number

book O
a O
restautant O
in O
north B-state
dakota I-state
at O
a O
bistro B-restaurant_type
that O
is O
indoor B-facility

make O
me O
a O
reservation O
in O
hardesty B-city
at O
a O
joint B-restaurant_type
the O
is O
indoor B-facility

book O
sot O
for O
22 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
at O
a O
restaurant B-restaurant_type
with O
parking B-facility

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
facility O
for O
3 B-party_size_number

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
for O
kirsten B-party_size_description
morris I-party_size_description
and I-party_size_description
i I-party_size_description

i O
d O
like O
a O
table O
for O
natasha B-party_size_description
bettye I-party_size_description
and I-party_size_description
kimberley I-party_size_description
at O
a O
coffeehouse B-restaurant_type
with O
a O
smoking B-facility
room I-facility

table O
for O
nine B-party_size_number
at O
an O
internet B-facility
pub B-restaurant_type

book O
a O
spa B-facility
in O
pizzeria B-restaurant_type
on O
november B-timeRange
24 I-timeRange
2036 I-timeRange

book O
a O
restaurant B-restaurant_type
with O
wifi B-facility
for O
nine B-party_size_number
people O

